grid<- list( x= seq( 0,5,,100), y= seq(0,5,,100))
obj <- stationary.image.cov( grid=grid, V=cbind(c(0.25,0.15),c(0.45,0.75)), setup=TRUE)
look<- sim.rf( obj)
look <- disk2dsmooth(look,5)
u <- quantile(look,0.99)
sIx <- matrix(0, 100, 100)
sIx[ look > u] <- 1
look2 <- disjointer(sIx)[[1]]
look2 <- flipxy(look2)
tmp <- FeatureAxis(look2)
plot(tmp)
tmp$OrientationAngle
tmp$lengths
data(pert000)
data(pert004)
hold <- FeatureSuitePrep("pert004", "pert000")
look <- convthresh( hold, smoothpar=10.5)
par( mfrow=c(2,2))
image.plot(look$X.labeled)
image.plot(look$Y.labeled)
look2 <- deltamm( look, verbose=TRUE)
image.plot(look2$X.labeled)
image.plot(look2$Y.labeled)
look2$mm.new.labels # the first seven features are matched.
ang1 <- FeatureAxis(look2$X.feats[[1]])
ang2 <- FeatureAxis(look2$Y.feats[[1]])
plot(ang1)
plot(ang2)
ang3 <- FeatureAxis(look2$X.feats[[4]])
ang4 <- FeatureAxis(look2$Y.feats[[4]])
plot(ang3)
plot(ang4)
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